Call for papers

Patterns are proven solutions to problems that recur in certain
contexts whereas anti-patterns are the contrary, i.e., known poor
practices. In the SANER community, patterns and anti-patterns are
widely studied in relation to program comprehension, software
maintenance, and more generally software quality. However, limited
feedback exist on the extend to which practitioners benefit from this
body of work. The third edition of PPAP aims to provide a platform to
promote the adoption (and adaption) of patterns and anti-patterns in
practice.

The overall goal is to bring together practitioners, researchers and
students to discuss challenges and opportunities surrounding the
(anti-)patterns in software evolution, and to develop a roadmap that
aims to further their application. We expect to gain a common
understanding of the positive and negative aspects related to
pattern application and anti-pattern detection. In particular,
researchers will gain insights on the factors that may prevent
practitioners to adopt patterns and practitioners will benefit from
a deeper understanding of the current state of the art.

We invite researchers and practitioners to submit position papers,
experience reports, and discussion papers. Topics of interest include, but are not limited to:

This will be a highly participative workshop that consists of lightning talks and interactive working sessions.

Paper format and submission

Participation to the workshop is on invitation, based on accepted
position papers. There are two options for submitting:

1: These papers need to be submitted by
December 09, 2016. If accepted, these will be published as part
of the SANER proceedings and you are invited to participate in
the workshop;

2: Non-Archival submissions: These can be submitted until two weeks
before SANER’s early registration deadline. If accepted, you are
invited to participate in the workshop, however, your paper will
not be published as part of the SANER proceedings. Acceptance
will be on a rolling basis, until we have reached maximum
capacity.